{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 人臉關鍵點辨識\n",
    "\n",
    "檢測辨識人臉的關鍵點是一個非常具有挑戰性的問題,在電腦視覺的研究上深度學習的應用已經在這方面取得了長足的進展，但仍有許多改進的地方。\n",
    "\n",
    "這個任務的目標是預測人臉圖像上的關鍵點位置。 這可以在幾個應用程序中用作構建塊，例如：\n",
    "* 追蹤圖像和視頻中臉部位置\n",
    "* 分析面部表情\n",
    "* 檢測變形的面部徵兆用於醫學診斷\n",
    "* 生物識別/人臉識別\n",
    "\n",
    "![face keypoints](https://cdn-images-1.medium.com/max/800/0*S8BzIAwjXc0XT-hR.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "## 資料集說明\n",
    "\n",
    "臉部關鍵點檢測挑戰的訓練數據集由7,049個96×96灰度圖像組成。對於每個圖像，我們應該會找到15個關鍵點的正確位置（x和y坐標），例如\n",
    "left_eye_center，right_eye_outer_corner，mouth_center_bottom_lip等等。\n",
    "\n",
    "這的任務的可以由[kaggle](https://www.kaggle.com/c/facial-keypoints-detection/data)來取得。有趣的是，有一些關鍵點我們只有大約2000個標籤，而其他關鍵點則有7000多個標籤可供訓練。例如，left_eye_center_x有7,034條數據，但只有2,266個left_eye_inner_corner_x。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 資料準備\n",
    "\n",
    "1. 從[Kaggle](https://www.kaggle.com/c/facial-keypoints-detection/data)點擊`Download`下載圖像資料檔`IdLookupTable.csv`, `test.zip`與`training.zip`。\n",
    "2. 在這個Jupyter Notebook所在的目錄下產生一個新的子目錄\"data\"。\n",
    "3. 把從kaggle下載下了的3個資料檔複製到\"data\"的目錄裡頭。\n",
    "4. 將`test.zip`與`train.zip`解壓縮\n",
    "  \n",
    "最後你的目錄結構看起來像這樣:\n",
    "\n",
    "    2.4-facial-keypoints-recognition.ipynb\n",
    "    data/    \n",
    "    ├── IdLookupTable.csv\n",
    "    ├── test.csv\n",
    "    └── train.csv"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 資料預處理 (Data Preprocessing)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import os\n",
    "import sys\n",
    "from datetime import datetime\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from pandas import DataFrame\n",
    "from sklearn.utils import shuffle\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# 資料路徑\n",
    "FTRAIN = 'data/training.csv'\n",
    "FTEST = 'data/test.csv'\n",
    "FLOOKUP = 'data/IdLookupTable.csv'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def load(test=False, cols=None):\n",
    "    \"\"\"Loads data from FTEST if *test* is True, otherwise from FTRAIN.\n",
    "    Pass a list of *cols* if you're only interested in a subset of the\n",
    "    target columns.\n",
    "    \"\"\"\n",
    "    fname = FTEST if test else FTRAIN\n",
    "    df = pd.read_csv(fname)\n",
    "    \n",
    "    # Image欄位有像素的資料(pixel values)並轉換成 numpy arrays\n",
    "    df['Image'] = df['Image'].apply(lambda im: np.fromstring(im, sep=' '))\n",
    "    \n",
    "    # 提取特定欄位相關的數據\n",
    "    if cols:\n",
    "        df = df[list(cols) + ['Image']]\n",
    "        \n",
    "    print(df.count()) # 資料集的筆數\n",
    "    df = df.dropna() # 刪除其中缺少值的資料\n",
    "    \n",
    "    X = np.vstack(df['Image'].values) / 255. # 將像素值進行歸一化 [0, 1]\n",
    "    X = X.astype(np.float32) # 轉換資料型態\n",
    "    \n",
    "    if not test: # 只有 FTRAIN有目標的標籤(label)\n",
    "        y = df[df.columns[:-1]].values\n",
    "        y = (y - 48) / 48\n",
    "        X, y = shuffle(X, y, random_state=42) # 對資料進行洗牌\n",
    "        y = y.astype(np.float32)\n",
    "    else:\n",
    "        y = None\n",
    "        \n",
    "    return X, y\n",
    "\n",
    "def load2d(test=False, cols=None):\n",
    "    X, y = load(test=test, cols=cols)\n",
    "    X = X.reshape(-1, 96, 96, 1) # 轉換成Conv2D的卷積層的input shape\n",
    "    \n",
    "    return X, y"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "首先，我們先列出每個列的可用值的數量。 所以，雖然訓練數據中的所有行都有圖像的像素值，但我們只有mouth_right_corner_x的2,267個值，依此類推。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 第一個模型: 只有單一的隱藏層(hidden layer)\n",
    "\n",
    "首先，讓我們實現一個只一個單一中間隱藏層的前饋神經網絡。 這是一個簡單的模型，相關的參數相當的少, 因此在模型的訓練上不需要太多的時間。我們可以用它來當成後面優化的比較基準(base line)。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "dense_1 (Dense)              (None, 100)               921700    \n",
      "_________________________________________________________________\n",
      "dense_2 (Dense)              (None, 30)                3030      \n",
      "=================================================================\n",
      "Total params: 924,730\n",
      "Trainable params: 924,730\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "from keras.models import Sequential\n",
    "from keras.layers import Dense, Activation\n",
    "from keras.optimizers import SGD\n",
    "\n",
    "model = Sequential()\n",
    "model.add(Dense(100, activation='relu', input_shape=(9216,)))\n",
    "model.add(Dense(30)) # 因為有15個關鍵座標(x,y), 共30個座標點要預測\n",
    "\n",
    "sgd = SGD(lr=0.01, momentum=0.9, nesterov=True)\n",
    "model.compile(loss='mean_squared_error', optimizer=sgd) # 使用\"MSE\"來做為loss function\n",
    "\n",
    "model.summary()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 訓練 (Training)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "left_eye_center_x            7039\n",
      "left_eye_center_y            7039\n",
      "right_eye_center_x           7036\n",
      "right_eye_center_y           7036\n",
      "left_eye_inner_corner_x      2271\n",
      "left_eye_inner_corner_y      2271\n",
      "left_eye_outer_corner_x      2267\n",
      "left_eye_outer_corner_y      2267\n",
      "right_eye_inner_corner_x     2268\n",
      "right_eye_inner_corner_y     2268\n",
      "right_eye_outer_corner_x     2268\n",
      "right_eye_outer_corner_y     2268\n",
      "left_eyebrow_inner_end_x     2270\n",
      "left_eyebrow_inner_end_y     2270\n",
      "left_eyebrow_outer_end_x     2225\n",
      "left_eyebrow_outer_end_y     2225\n",
      "right_eyebrow_inner_end_x    2270\n",
      "right_eyebrow_inner_end_y    2270\n",
      "right_eyebrow_outer_end_x    2236\n",
      "right_eyebrow_outer_end_y    2236\n",
      "nose_tip_x                   7049\n",
      "nose_tip_y                   7049\n",
      "mouth_left_corner_x          2269\n",
      "mouth_left_corner_y          2269\n",
      "mouth_right_corner_x         2270\n",
      "mouth_right_corner_y         2270\n",
      "mouth_center_top_lip_x       2275\n",
      "mouth_center_top_lip_y       2275\n",
      "mouth_center_bottom_lip_x    7016\n",
      "mouth_center_bottom_lip_y    7016\n",
      "Image                        7049\n",
      "dtype: int64\n",
      "X.shape == (2140, 9216); X.min == 0.000; X.max == 1.000\n",
      "y.shape == (2140, 30); y.min == -0.920; y.max == 0.996\n",
      "Train on 1712 samples, validate on 428 samples\n",
      "Epoch 1/100\n",
      "1712/1712 [==============================] - 1s 639us/step - loss: 0.0679 - val_loss: 0.0126\n",
      "Epoch 2/100\n",
      "1712/1712 [==============================] - 0s 183us/step - loss: 0.0119 - val_loss: 0.0107\n",
      "Epoch 3/100\n",
      "1712/1712 [==============================] - 0s 192us/step - loss: 0.0103 - val_loss: 0.0107\n",
      "Epoch 4/100\n",
      "1712/1712 [==============================] - 0s 192us/step - loss: 0.0095 - val_loss: 0.0102\n",
      "Epoch 5/100\n",
      "1712/1712 [==============================] - 0s 201us/step - loss: 0.0087 - val_loss: 0.0085\n",
      "Epoch 6/100\n",
      "1712/1712 [==============================] - 0s 183us/step - loss: 0.0082 - val_loss: 0.0082\n",
      "Epoch 7/100\n",
      "1712/1712 [==============================] - 0s 155us/step - loss: 0.0080 - val_loss: 0.0082\n",
      "Epoch 8/100\n",
      "1712/1712 [==============================] - 0s 173us/step - loss: 0.0075 - val_loss: 0.0076\n",
      "Epoch 9/100\n",
      "1712/1712 [==============================] - 0s 197us/step - loss: 0.0073 - val_loss: 0.0074\n",
      "Epoch 10/100\n",
      "1712/1712 [==============================] - 0s 155us/step - loss: 0.0070 - val_loss: 0.0073\n",
      "Epoch 11/100\n",
      "1712/1712 [==============================] - 0s 137us/step - loss: 0.0068 - val_loss: 0.0075\n",
      "Epoch 12/100\n",
      "1712/1712 [==============================] - 0s 173us/step - loss: 0.0065 - val_loss: 0.0068\n",
      "Epoch 13/100\n",
      "1712/1712 [==============================] - 0s 237us/step - loss: 0.0065 - val_loss: 0.0072\n",
      "Epoch 14/100\n",
      "1712/1712 [==============================] - 0s 265us/step - loss: 0.0062 - val_loss: 0.0065\n",
      "Epoch 15/100\n",
      "1712/1712 [==============================] - 0s 237us/step - loss: 0.0060 - val_loss: 0.0068\n",
      "Epoch 16/100\n",
      "1712/1712 [==============================] - 0s 183us/step - loss: 0.0060 - val_loss: 0.0063\n",
      "Epoch 17/100\n",
      "1712/1712 [==============================] - 0s 210us/step - loss: 0.0058 - val_loss: 0.0063\n",
      "Epoch 18/100\n",
      "1712/1712 [==============================] - 0s 237us/step - loss: 0.0056 - val_loss: 0.0066\n",
      "Epoch 19/100\n",
      "1712/1712 [==============================] - 0s 228us/step - loss: 0.0056 - val_loss: 0.0060\n",
      "Epoch 20/100\n",
      "1712/1712 [==============================] - 0s 237us/step - loss: 0.0056 - val_loss: 0.0061\n",
      "Epoch 21/100\n",
      "1712/1712 [==============================] - 0s 219us/step - loss: 0.0054 - val_loss: 0.0061\n",
      "Epoch 22/100\n",
      "1712/1712 [==============================] - 0s 183us/step - loss: 0.0052 - val_loss: 0.0057\n",
      "Epoch 23/100\n",
      "1712/1712 [==============================] - 0s 173us/step - loss: 0.0052 - val_loss: 0.0061\n",
      "Epoch 24/100\n",
      "1712/1712 [==============================] - 0s 201us/step - loss: 0.0051 - val_loss: 0.0055\n",
      "Epoch 25/100\n",
      "1712/1712 [==============================] - 0s 192us/step - loss: 0.0050 - val_loss: 0.0057\n",
      "Epoch 26/100\n",
      "1712/1712 [==============================] - 0s 265us/step - loss: 0.0049 - val_loss: 0.0055\n",
      "Epoch 27/100\n",
      "1712/1712 [==============================] - 0s 192us/step - loss: 0.0048 - val_loss: 0.0053\n",
      "Epoch 28/100\n",
      "1712/1712 [==============================] - 0s 219us/step - loss: 0.0047 - val_loss: 0.0063\n",
      "Epoch 29/100\n",
      "1712/1712 [==============================] - 1s 292us/step - loss: 0.0047 - val_loss: 0.0052\n",
      "Epoch 30/100\n",
      "1712/1712 [==============================] - 0s 210us/step - loss: 0.0045 - val_loss: 0.0052\n",
      "Epoch 31/100\n",
      "1712/1712 [==============================] - 0s 210us/step - loss: 0.0045 - val_loss: 0.0050\n",
      "Epoch 32/100\n",
      "1712/1712 [==============================] - 0s 173us/step - loss: 0.0044 - val_loss: 0.0057\n",
      "Epoch 33/100\n",
      "1712/1712 [==============================] - 0s 173us/step - loss: 0.0044 - val_loss: 0.0049\n",
      "Epoch 34/100\n",
      "1712/1712 [==============================] - 0s 173us/step - loss: 0.0045 - val_loss: 0.0050\n",
      "Epoch 35/100\n",
      "1712/1712 [==============================] - 0s 146us/step - loss: 0.0044 - val_loss: 0.0049\n",
      "Epoch 36/100\n",
      "1712/1712 [==============================] - 0s 210us/step - loss: 0.0042 - val_loss: 0.0050\n",
      "Epoch 37/100\n",
      "1712/1712 [==============================] - 0s 201us/step - loss: 0.0042 - val_loss: 0.0049\n",
      "Epoch 38/100\n",
      "1712/1712 [==============================] - 0s 183us/step - loss: 0.0041 - val_loss: 0.0046\n",
      "Epoch 39/100\n",
      "1712/1712 [==============================] - 0s 155us/step - loss: 0.0041 - val_loss: 0.0047\n",
      "Epoch 40/100\n",
      "1712/1712 [==============================] - 0s 192us/step - loss: 0.0041 - val_loss: 0.0049\n",
      "Epoch 41/100\n",
      "1712/1712 [==============================] - 0s 192us/step - loss: 0.0040 - val_loss: 0.0049\n",
      "Epoch 42/100\n",
      "1712/1712 [==============================] - 0s 237us/step - loss: 0.0040 - val_loss: 0.0046\n",
      "Epoch 43/100\n",
      "1712/1712 [==============================] - 0s 192us/step - loss: 0.0039 - val_loss: 0.0046\n",
      "Epoch 44/100\n",
      "1712/1712 [==============================] - 0s 237us/step - loss: 0.0039 - val_loss: 0.0045\n",
      "Epoch 45/100\n",
      "1712/1712 [==============================] - 0s 192us/step - loss: 0.0038 - val_loss: 0.0047\n",
      "Epoch 46/100\n",
      "1712/1712 [==============================] - 0s 192us/step - loss: 0.0038 - val_loss: 0.0045\n",
      "Epoch 47/100\n",
      "1712/1712 [==============================] - 0s 192us/step - loss: 0.0037 - val_loss: 0.0045\n",
      "Epoch 48/100\n",
      "1712/1712 [==============================] - 0s 201us/step - loss: 0.0038 - val_loss: 0.0044\n",
      "Epoch 49/100\n",
      "1712/1712 [==============================] - 0s 201us/step - loss: 0.0037 - val_loss: 0.0044\n",
      "Epoch 50/100\n",
      "1712/1712 [==============================] - 0s 192us/step - loss: 0.0036 - val_loss: 0.0046\n",
      "Epoch 51/100\n",
      "1712/1712 [==============================] - 0s 164us/step - loss: 0.0037 - val_loss: 0.0045\n",
      "Epoch 52/100\n",
      "1712/1712 [==============================] - 0s 192us/step - loss: 0.0036 - val_loss: 0.0045\n",
      "Epoch 53/100\n",
      "1712/1712 [==============================] - 0s 237us/step - loss: 0.0037 - val_loss: 0.0047\n",
      "Epoch 54/100\n",
      "1712/1712 [==============================] - 0s 265us/step - loss: 0.0036 - val_loss: 0.0045\n",
      "Epoch 55/100\n",
      "1712/1712 [==============================] - 0s 171us/step - loss: 0.0035 - val_loss: 0.0042\n",
      "Epoch 56/100\n",
      "1712/1712 [==============================] - 0s 192us/step - loss: 0.0035 - val_loss: 0.0046\n",
      "Epoch 57/100\n",
      "1712/1712 [==============================] - 0s 173us/step - loss: 0.0035 - val_loss: 0.0043\n",
      "Epoch 58/100\n",
      "1712/1712 [==============================] - 0s 237us/step - loss: 0.0034 - val_loss: 0.0054\n",
      "Epoch 59/100\n",
      "1712/1712 [==============================] - 0s 173us/step - loss: 0.0035 - val_loss: 0.0043\n",
      "Epoch 60/100\n",
      "1712/1712 [==============================] - 0s 192us/step - loss: 0.0034 - val_loss: 0.0041\n",
      "Epoch 61/100\n",
      "1712/1712 [==============================] - 0s 174us/step - loss: 0.0033 - val_loss: 0.0041\n",
      "Epoch 62/100\n",
      "1712/1712 [==============================] - 0s 164us/step - loss: 0.0033 - val_loss: 0.0041\n",
      "Epoch 63/100\n",
      "1712/1712 [==============================] - 0s 173us/step - loss: 0.0033 - val_loss: 0.0040\n",
      "Epoch 64/100\n",
      "1712/1712 [==============================] - 0s 183us/step - loss: 0.0034 - val_loss: 0.0040\n",
      "Epoch 65/100\n",
      "1712/1712 [==============================] - 0s 234us/step - loss: 0.0033 - val_loss: 0.0041\n",
      "Epoch 66/100\n",
      "1712/1712 [==============================] - 0s 201us/step - loss: 0.0033 - val_loss: 0.0039\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 67/100\n",
      "1712/1712 [==============================] - 0s 210us/step - loss: 0.0033 - val_loss: 0.0040\n",
      "Epoch 68/100\n",
      "1712/1712 [==============================] - 0s 183us/step - loss: 0.0032 - val_loss: 0.0039\n",
      "Epoch 69/100\n",
      "1712/1712 [==============================] - 0s 146us/step - loss: 0.0032 - val_loss: 0.0039\n",
      "Epoch 70/100\n",
      "1712/1712 [==============================] - 0s 210us/step - loss: 0.0032 - val_loss: 0.0040\n",
      "Epoch 71/100\n",
      "1712/1712 [==============================] - 0s 164us/step - loss: 0.0031 - val_loss: 0.0039\n",
      "Epoch 72/100\n",
      "1712/1712 [==============================] - 0s 164us/step - loss: 0.0032 - val_loss: 0.0038\n",
      "Epoch 73/100\n",
      "1712/1712 [==============================] - 0s 182us/step - loss: 0.0032 - val_loss: 0.0038\n",
      "Epoch 74/100\n",
      "1712/1712 [==============================] - 0s 155us/step - loss: 0.0031 - val_loss: 0.0039\n",
      "Epoch 75/100\n",
      "1712/1712 [==============================] - 0s 201us/step - loss: 0.0031 - val_loss: 0.0038\n",
      "Epoch 76/100\n",
      "1712/1712 [==============================] - 0s 173us/step - loss: 0.0031 - val_loss: 0.0039\n",
      "Epoch 77/100\n",
      "1712/1712 [==============================] - 0s 194us/step - loss: 0.0031 - val_loss: 0.0040\n",
      "Epoch 78/100\n",
      "1712/1712 [==============================] - 0s 154us/step - loss: 0.0030 - val_loss: 0.0038\n",
      "Epoch 79/100\n",
      "1712/1712 [==============================] - 0s 222us/step - loss: 0.0030 - val_loss: 0.0038\n",
      "Epoch 80/100\n",
      "1712/1712 [==============================] - 0s 154us/step - loss: 0.0030 - val_loss: 0.0038\n",
      "Epoch 81/100\n",
      "1712/1712 [==============================] - 0s 183us/step - loss: 0.0030 - val_loss: 0.0039\n",
      "Epoch 82/100\n",
      "1712/1712 [==============================] - 0s 155us/step - loss: 0.0030 - val_loss: 0.0037\n",
      "Epoch 83/100\n",
      "1712/1712 [==============================] - 0s 173us/step - loss: 0.0029 - val_loss: 0.0038\n",
      "Epoch 84/100\n",
      "1712/1712 [==============================] - 0s 246us/step - loss: 0.0029 - val_loss: 0.0038\n",
      "Epoch 85/100\n",
      "1712/1712 [==============================] - 0s 192us/step - loss: 0.0029 - val_loss: 0.0038\n",
      "Epoch 86/100\n",
      "1712/1712 [==============================] - 0s 210us/step - loss: 0.0029 - val_loss: 0.0037\n",
      "Epoch 87/100\n",
      "1712/1712 [==============================] - 0s 173us/step - loss: 0.0029 - val_loss: 0.0040\n",
      "Epoch 88/100\n",
      "1712/1712 [==============================] - 0s 265us/step - loss: 0.0029 - val_loss: 0.0036\n",
      "Epoch 89/100\n",
      "1712/1712 [==============================] - 0s 219us/step - loss: 0.0028 - val_loss: 0.0038\n",
      "Epoch 90/100\n",
      "1712/1712 [==============================] - 0s 201us/step - loss: 0.0028 - val_loss: 0.0039\n",
      "Epoch 91/100\n",
      "1712/1712 [==============================] - 0s 265us/step - loss: 0.0028 - val_loss: 0.0039\n",
      "Epoch 92/100\n",
      "1712/1712 [==============================] - 0s 172us/step - loss: 0.0028 - val_loss: 0.0036\n",
      "Epoch 93/100\n",
      "1712/1712 [==============================] - 0s 146us/step - loss: 0.0028 - val_loss: 0.0042\n",
      "Epoch 94/100\n",
      "1712/1712 [==============================] - 0s 237us/step - loss: 0.0028 - val_loss: 0.0042\n",
      "Epoch 95/100\n",
      "1712/1712 [==============================] - 0s 192us/step - loss: 0.0028 - val_loss: 0.0037\n",
      "Epoch 96/100\n",
      "1712/1712 [==============================] - 0s 164us/step - loss: 0.0028 - val_loss: 0.0037\n",
      "Epoch 97/100\n",
      "1712/1712 [==============================] - 0s 265us/step - loss: 0.0028 - val_loss: 0.0035\n",
      "Epoch 98/100\n",
      "1712/1712 [==============================] - 0s 210us/step - loss: 0.0027 - val_loss: 0.0036\n",
      "Epoch 99/100\n",
      "1712/1712 [==============================] - 0s 183us/step - loss: 0.0027 - val_loss: 0.0035\n",
      "Epoch 100/100\n",
      "1712/1712 [==============================] - 0s 210us/step - loss: 0.0027 - val_loss: 0.0035\n"
     ]
    }
   ],
   "source": [
    "# 載入模型訓練資料\n",
    "X, y = load()\n",
    "\n",
    "print(\"X.shape == {}; X.min == {:.3f}; X.max == {:.3f}\".format(X.shape, X.min(), X.max()))\n",
    "print(\"y.shape == {}; y.min == {:.3f}; y.max == {:.3f}\".format(y.shape, y.min(), y.max()))\n",
    "\n",
    "# 設定訓練參數\n",
    "batch_size = 32\n",
    "epochs = 100\n",
    "\n",
    "# 開始訓練\n",
    "history = model.fit(X, y,\n",
    "                    batch_size=batch_size,\n",
    "                    epochs=epochs,\n",
    "                    validation_split=0.2 # 保留20%用來驗證\n",
    "                   )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 訓練過程的可視化\n",
    "\n",
    "透過趨勢圖來觀察訓練與驗證的走向 (特別去觀察是否有\"過擬合(overfitting)\"的現象)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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604AxQLIxpmep90YDzwO+wJvGmCfLu44xZgtwu4j4AG9UtR31mY+P8Oy1fZn0xjLWJaZj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\nBmf4SJIGZ/hIkgZn+EiSBmf4SJIG9wsKdfQe3Y5IRgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1f060746780>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "loss = history.history['loss']\n",
    "val_loss = history.history['val_loss']\n",
    "\n",
    "plt.plot(loss, linewidth=3, label='train')\n",
    "plt.plot(val_loss, linewidth=3, label='valid')\n",
    "plt.grid()\n",
    "plt.legend()\n",
    "plt.xlabel('epoch')\n",
    "plt.ylabel('loss')\n",
    "plt.ylim(1e-3, 1e-2)\n",
    "plt.yscale('log') # 由於整個loss的range很大, 我們使用'log'尺規來轉換\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 驗證評估 (Evaluation)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ImageId    1783\n",
      "Image      1783\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "X_test, _ = load(test=True) # 取得測試資料集\n",
    "y_pred = model.predict(X_test) # 進行預測"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def plot_sample(x, y, axis):\n",
    "    img = x.reshape(96, 96) # 圖像是96x96\n",
    "    axis.imshow(img, cmap='gray') # 以灰階來顯示\n",
    "    \n",
    "    # 把模型預測出來的15個臉部關鍵點打印在圖像上\n",
    "    axis.scatter(y[0::2] * 48 + 48, y[1::2] * 48 + 48, marker='x', s=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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IhULyLrqfXH/MKVIJch30+32Ew2GJun0+HxqNhi1KHAwGtkjHqTw5Dhwjrazp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NwY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\nyJl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EoCDu7bOGSdBuvA8oQ/pNsu7l5WVdvnxZKysrmp6eDuUvu7u7qlaridIBKQnjej4B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PxcS0tLRraBWOP74de2r1Lm4/fNZtPOjgwTgRhLGObSDMpNp9O6du2adnZ2tLq6auEvvEYP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\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48GGoxYOenCNKnVev10v0hPURIyoxr25vbwflBf1LpVLwIulYIikcj4XQ5IT3YrEYjE3f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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1f06096ea20>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 打印一個6x6的圖像框格\n",
    "fig = plt.figure(figsize=(6, 6))\n",
    "fig.subplots_adjust(left=0, right=1, bottom=0, top=1, hspace=0.05, wspace=0.05)\n",
    "\n",
    "# 選出測試圖像的前16個進行視覺化\n",
    "for i in range(16):\n",
    "    ax = fig.add_subplot(4, 4, i + 1, xticks=[], yticks=[])\n",
    "    plot_sample(X_test[i], y_pred[i], ax)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 第2個模型: 卷積網絡"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from keras.models import Sequential\n",
    "from keras.optimizers import SGD\n",
    "from keras.layers import Dense, Dropout, Flatten\n",
    "from keras.layers import Conv2D, MaxPooling2D\n",
    "from keras.callbacks import EarlyStopping, LearningRateScheduler\n",
    "from keras.preprocessing.image import ImageDataGenerator\n",
    "\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from collections import OrderedDict\n",
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 擴展keras的ImageDataGenerator來產生更多的圖像資料\n",
    "class FlippedImageDataGenerator(ImageDataGenerator):\n",
    "    # 由於臉部的關鍵點是左右對應的, 我們將使用鏡像(flip)的手法來產生圖像\n",
    "    flip_indices = [(0, 2), (1, 3), (4, 8), (5, 9),\n",
    "                    (6, 10), (7, 11), (12, 16), (13, 17),\n",
    "                    (14, 18), (15, 19), (22, 24), (23, 25)]\n",
    "    \n",
    "    def next(self):\n",
    "        X_batch, y_batch = super(FlippedImageDataGenerator, self).next()\n",
    "        batch_size = X_batch.shape[0]\n",
    "        # 隨機選擇一些圖像來進行水平鏡像(flip)\n",
    "        indices = np.random.choice(batch_size, batch_size / 2, replace=False)\n",
    "        X_batch[indices] = X_batch[indices, :, :, ::-1]\n",
    "        \n",
    "        # 對於有進行過水平鏡像的圖像, 也把臉部關鍵座標點進行調換\n",
    "        if y_batch is not None:\n",
    "            y_batch[indices, ::2] = y_batch[indices, ::2] * -1\n",
    "\n",
    "            for a, b in self.flip_indices:\n",
    "                y_batch[indices, a], y_batch[indices, b] = (\n",
    "                    y_batch[indices, b], y_batch[indices, a]\n",
    "                )\n",
    "\n",
    "        return X_batch, y_batch"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 網絡模型構建\n",
    "\n",
    "現在我們來定義我們的模型架構。我們將使用具有6個卷積層的前饋(feed-forward)網絡，然後是完全連接的隱藏層。\n",
    "我們也將在兩者之間使用Dropout層來防止網絡\"過擬合(overfitting)\"。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "conv2d_1 (Conv2D)            (None, 96, 96, 32)        320       \n",
      "_________________________________________________________________\n",
      "conv2d_2 (Conv2D)            (None, 94, 94, 32)        9248      \n",
      "_________________________________________________________________\n",
      "max_pooling2d_1 (MaxPooling2 (None, 47, 47, 32)        0         \n",
      "_________________________________________________________________\n",
      "dropout_1 (Dropout)          (None, 47, 47, 32)        0         \n",
      "_________________________________________________________________\n",
      "conv2d_3 (Conv2D)            (None, 47, 47, 64)        18496     \n",
      "_________________________________________________________________\n",
      "conv2d_4 (Conv2D)            (None, 45, 45, 64)        36928     \n",
      "_________________________________________________________________\n",
      "max_pooling2d_2 (MaxPooling2 (None, 22, 22, 64)        0         \n",
      "_________________________________________________________________\n",
      "dropout_2 (Dropout)          (None, 22, 22, 64)        0         \n",
      "_________________________________________________________________\n",
      "conv2d_5 (Conv2D)            (None, 22, 22, 128)       73856     \n",
      "_________________________________________________________________\n",
      "conv2d_6 (Conv2D)            (None, 20, 20, 128)       147584    \n",
      "_________________________________________________________________\n",
      "max_pooling2d_3 (MaxPooling2 (None, 10, 10, 128)       0         \n",
      "_________________________________________________________________\n",
      "dropout_3 (Dropout)          (None, 10, 10, 128)       0         \n",
      "_________________________________________________________________\n",
      "flatten_1 (Flatten)          (None, 12800)             0         \n",
      "_________________________________________________________________\n",
      "dense_3 (Dense)              (None, 128)               1638528   \n",
      "_________________________________________________________________\n",
      "dropout_4 (Dropout)          (None, 128)               0         \n",
      "_________________________________________________________________\n",
      "dense_4 (Dense)              (None, 30)                3870      \n",
      "=================================================================\n",
      "Total params: 1,928,830\n",
      "Trainable params: 1,928,830\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "def cnn_model():\n",
    "    model = Sequential()\n",
    "    model.add(Conv2D(32, (3, 3), \n",
    "                     padding='same', activation='relu', \n",
    "                     kernel_initializer='he_normal', input_shape=(96,96,1)))\n",
    "    \n",
    "    model.add(Conv2D(32, (3, 3), activation='relu'))\n",
    "    model.add(MaxPooling2D(pool_size=(2, 2)))\n",
    "    model.add(Dropout(0.2))\n",
    "    \n",
    "    model.add(Conv2D(64, (3, 3), padding='same', activation='relu'))\n",
    "    model.add(Conv2D(64, (3, 3), activation='relu'))\n",
    "    model.add(MaxPooling2D(pool_size=(2, 2)))\n",
    "    model.add(Dropout(0.2))\n",
    "    \n",
    "    model.add(Conv2D(128, (3, 3), padding='same', activation='relu'))\n",
    "    model.add(Conv2D(128, (3, 3), activation='relu'))\n",
    "    model.add(MaxPooling2D(pool_size=(2, 2)))\n",
    "    model.add(Dropout(0.2))\n",
    "    \n",
    "    model.add(Flatten())\n",
    "    model.add(Dense(128, activation='relu'))\n",
    "    model.add(Dropout(0.5))\n",
    "    \n",
    "    model.add(Dense(30)) # 因為有15個關鍵座標(x,y), 共30個座標點要預測\n",
    "    \n",
    "    return model;\n",
    "\n",
    "# 取得模型\n",
    "model2 = cnn_model()\n",
    "\n",
    "# 秀出模型架構\n",
    "model2.summary()\n",
    "\n",
    "# 使用與第1個模型相同的optimer與loss function\n",
    "sgd = SGD(lr=0.01, momentum=0.9, nesterov=True)\n",
    "model2.compile(loss='mean_squared_error', optimizer=sgd) # 使用\"MSE\"來做為loss function"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 訓練 (Training)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "left_eye_center_x            7039\n",
      "left_eye_center_y            7039\n",
      "right_eye_center_x           7036\n",
      "right_eye_center_y           7036\n",
      "left_eye_inner_corner_x      2271\n",
      "left_eye_inner_corner_y      2271\n",
      "left_eye_outer_corner_x      2267\n",
      "left_eye_outer_corner_y      2267\n",
      "right_eye_inner_corner_x     2268\n",
      "right_eye_inner_corner_y     2268\n",
      "right_eye_outer_corner_x     2268\n",
      "right_eye_outer_corner_y     2268\n",
      "left_eyebrow_inner_end_x     2270\n",
      "left_eyebrow_inner_end_y     2270\n",
      "left_eyebrow_outer_end_x     2225\n",
      "left_eyebrow_outer_end_y     2225\n",
      "right_eyebrow_inner_end_x    2270\n",
      "right_eyebrow_inner_end_y    2270\n",
      "right_eyebrow_outer_end_x    2236\n",
      "right_eyebrow_outer_end_y    2236\n",
      "nose_tip_x                   7049\n",
      "nose_tip_y                   7049\n",
      "mouth_left_corner_x          2269\n",
      "mouth_left_corner_y          2269\n",
      "mouth_right_corner_x         2270\n",
      "mouth_right_corner_y         2270\n",
      "mouth_center_top_lip_x       2275\n",
      "mouth_center_top_lip_y       2275\n",
      "mouth_center_bottom_lip_x    7016\n",
      "mouth_center_bottom_lip_y    7016\n",
      "Image                        7049\n",
      "dtype: int64\n",
      "Epoch 1/100\n",
      "1712/1712 [==============================] - 44s 25ms/step - loss: 0.0109 - val_loss: 0.0046\n",
      "Epoch 2/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0046 - val_loss: 0.0041\n",
      "Epoch 3/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0042 - val_loss: 0.0039\n",
      "Epoch 4/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0040 - val_loss: 0.0036\n",
      "Epoch 5/100\n",
      "1712/1712 [==============================] - 42s 24ms/step - loss: 0.0038 - val_loss: 0.0034\n",
      "Epoch 6/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0036 - val_loss: 0.0031\n",
      "Epoch 7/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0034 - val_loss: 0.0028\n",
      "Epoch 8/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0033 - val_loss: 0.0027\n",
      "Epoch 9/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0031 - val_loss: 0.0025\n",
      "Epoch 10/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0030 - val_loss: 0.0024\n",
      "Epoch 11/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0029 - val_loss: 0.0023\n",
      "Epoch 12/100\n",
      "1712/1712 [==============================] - 43s 25ms/step - loss: 0.0028 - val_loss: 0.0022\n",
      "Epoch 13/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0028 - val_loss: 0.0022\n",
      "Epoch 14/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0027 - val_loss: 0.0021\n",
      "Epoch 15/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0026 - val_loss: 0.0020\n",
      "Epoch 16/100\n",
      "1712/1712 [==============================] - 43s 25ms/step - loss: 0.0026 - val_loss: 0.0020\n",
      "Epoch 17/100\n",
      "1712/1712 [==============================] - 42s 24ms/step - loss: 0.0025 - val_loss: 0.0019\n",
      "Epoch 18/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0025 - val_loss: 0.0018\n",
      "Epoch 19/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0024 - val_loss: 0.0018\n",
      "Epoch 20/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0024 - val_loss: 0.0018\n",
      "Epoch 21/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0023 - val_loss: 0.0018\n",
      "Epoch 22/100\n",
      "1712/1712 [==============================] - 43s 25ms/step - loss: 0.0023 - val_loss: 0.0017\n",
      "Epoch 23/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0023 - val_loss: 0.0017\n",
      "Epoch 24/100\n",
      "1712/1712 [==============================] - 42s 24ms/step - loss: 0.0022 - val_loss: 0.0017\n",
      "Epoch 25/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0022 - val_loss: 0.0016\n",
      "Epoch 26/100\n",
      "1712/1712 [==============================] - 43s 25ms/step - loss: 0.0022 - val_loss: 0.0016\n",
      "Epoch 27/100\n",
      "1712/1712 [==============================] - 42s 24ms/step - loss: 0.0021 - val_loss: 0.0016\n",
      "Epoch 28/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0021 - val_loss: 0.0016\n",
      "Epoch 29/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0021 - val_loss: 0.0015\n",
      "Epoch 30/100\n",
      "1712/1712 [==============================] - 42s 24ms/step - loss: 0.0021 - val_loss: 0.0015\n",
      "Epoch 31/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0021 - val_loss: 0.0015\n",
      "Epoch 32/100\n",
      "1712/1712 [==============================] - 43s 25ms/step - loss: 0.0020 - val_loss: 0.0015\n",
      "Epoch 33/100\n",
      "1712/1712 [==============================] - 43s 25ms/step - loss: 0.0020 - val_loss: 0.0015\n",
      "Epoch 34/100\n",
      "1712/1712 [==============================] - 43s 25ms/step - loss: 0.0020 - val_loss: 0.0014\n",
      "Epoch 35/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0020 - val_loss: 0.0014\n",
      "Epoch 36/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0019 - val_loss: 0.0014\n",
      "Epoch 37/100\n",
      "1712/1712 [==============================] - 43s 25ms/step - loss: 0.0019 - val_loss: 0.0014\n",
      "Epoch 38/100\n",
      "1712/1712 [==============================] - 43s 25ms/step - loss: 0.0019 - val_loss: 0.0014\n",
      "Epoch 39/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0019 - val_loss: 0.0014\n",
      "Epoch 40/100\n",
      "1712/1712 [==============================] - 42s 24ms/step - loss: 0.0019 - val_loss: 0.0014\n",
      "Epoch 41/100\n",
      "1712/1712 [==============================] - 42s 24ms/step - loss: 0.0019 - val_loss: 0.0014\n",
      "Epoch 42/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0019 - val_loss: 0.0014\n",
      "Epoch 43/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0018 - val_loss: 0.0013\n",
      "Epoch 44/100\n",
      "1712/1712 [==============================] - 43s 25ms/step - loss: 0.0018 - val_loss: 0.0013\n",
      "Epoch 45/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0018 - val_loss: 0.0013\n",
      "Epoch 46/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0018 - val_loss: 0.0013\n",
      "Epoch 47/100\n",
      "1712/1712 [==============================] - 43s 25ms/step - loss: 0.0018 - val_loss: 0.0013\n",
      "Epoch 48/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0018 - val_loss: 0.0013\n",
      "Epoch 49/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0018 - val_loss: 0.0013\n",
      "Epoch 50/100\n",
      "1712/1712 [==============================] - 43s 25ms/step - loss: 0.0017 - val_loss: 0.0013\n",
      "Epoch 51/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0017 - val_loss: 0.0013\n",
      "Epoch 52/100\n",
      "1712/1712 [==============================] - 43s 25ms/step - loss: 0.0017 - val_loss: 0.0013\n",
      "Epoch 53/100\n",
      "1712/1712 [==============================] - 43s 25ms/step - loss: 0.0017 - val_loss: 0.0012\n",
      "Epoch 54/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0017 - val_loss: 0.0012\n",
      "Epoch 55/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0017 - val_loss: 0.0012\n",
      "Epoch 56/100\n",
      "1712/1712 [==============================] - 43s 25ms/step - loss: 0.0017 - val_loss: 0.0012\n",
      "Epoch 57/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0017 - val_loss: 0.0012\n",
      "Epoch 58/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0017 - val_loss: 0.0012\n",
      "Epoch 59/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0017 - val_loss: 0.0012\n",
      "Epoch 60/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0016 - val_loss: 0.0012\n",
      "Epoch 61/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0016 - val_loss: 0.0012\n",
      "Epoch 62/100\n",
      "1712/1712 [==============================] - 43s 25ms/step - loss: 0.0016 - val_loss: 0.0012\n",
      "Epoch 63/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0016 - val_loss: 0.0012\n",
      "Epoch 64/100\n",
      "1712/1712 [==============================] - 43s 25ms/step - loss: 0.0016 - val_loss: 0.0012\n",
      "Epoch 65/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0016 - val_loss: 0.0012\n",
      "Epoch 66/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0016 - val_loss: 0.0012\n",
      "Epoch 67/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0016 - val_loss: 0.0012\n",
      "Epoch 68/100\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0016 - val_loss: 0.0011\n",
      "Epoch 69/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0016 - val_loss: 0.0011\n",
      "Epoch 70/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0016 - val_loss: 0.0012\n",
      "Epoch 71/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0016 - val_loss: 0.0011\n",
      "Epoch 72/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0016 - val_loss: 0.0011\n",
      "Epoch 73/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0015 - val_loss: 0.0011\n",
      "Epoch 74/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0015 - val_loss: 0.0011\n",
      "Epoch 75/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0015 - val_loss: 0.0011\n",
      "Epoch 76/100\n",
      "1712/1712 [==============================] - 42s 24ms/step - loss: 0.0015 - val_loss: 0.0011\n",
      "Epoch 77/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0015 - val_loss: 0.0011\n",
      "Epoch 78/100\n",
      "1712/1712 [==============================] - 43s 25ms/step - loss: 0.0015 - val_loss: 0.0011\n",
      "Epoch 79/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0015 - val_loss: 0.0011\n",
      "Epoch 80/100\n",
      "1712/1712 [==============================] - 43s 25ms/step - loss: 0.0015 - val_loss: 0.0011\n",
      "Epoch 81/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0015 - val_loss: 0.0011\n",
      "Epoch 82/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0015 - val_loss: 0.0011\n",
      "Epoch 83/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0015 - val_loss: 0.0011\n",
      "Epoch 84/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0015 - val_loss: 0.0011\n",
      "Epoch 85/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0015 - val_loss: 0.0011\n",
      "Epoch 86/100\n",
      "1712/1712 [==============================] - 43s 25ms/step - loss: 0.0015 - val_loss: 0.0011\n",
      "Epoch 87/100\n",
      "1712/1712 [==============================] - 43s 25ms/step - loss: 0.0015 - val_loss: 0.0011\n",
      "Epoch 88/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0015 - val_loss: 0.0011\n",
      "Epoch 89/100\n",
      "1712/1712 [==============================] - 42s 24ms/step - loss: 0.0015 - val_loss: 0.0011\n",
      "Epoch 90/100\n",
      "1712/1712 [==============================] - 43s 25ms/step - loss: 0.0014 - val_loss: 0.0011\n",
      "Epoch 91/100\n",
      "1712/1712 [==============================] - 43s 25ms/step - loss: 0.0014 - val_loss: 0.0011\n",
      "Epoch 92/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0014 - val_loss: 0.0011\n",
      "Epoch 93/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0014 - val_loss: 0.0010\n",
      "Epoch 94/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0014 - val_loss: 0.0011\n",
      "Epoch 95/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0014 - val_loss: 0.0010\n",
      "Epoch 96/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0014 - val_loss: 0.0010\n",
      "Epoch 97/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0014 - val_loss: 0.0010\n",
      "Epoch 98/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0014 - val_loss: 0.0010\n",
      "Epoch 99/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0014 - val_loss: 0.0010\n",
      "Epoch 100/100\n",
      "1712/1712 [==============================] - 42s 25ms/step - loss: 0.0014 - val_loss: 0.0010\n"
     ]
    }
   ],
   "source": [
    "# 載入模型訓練資料\n",
    "X, y = load2d()\n",
    "\n",
    "# 進行資料拆分\n",
    "X_train, X_val, y_train, y_val = train_test_split(X, y, test_size=0.2, random_state=42)\n",
    "\n",
    "# 設定訓練參數\n",
    "epochs = 100\n",
    "\n",
    "# 產生一個圖像產生器instance\n",
    "flipgen = FlippedImageDataGenerator()\n",
    "\n",
    "# 開始訓練\n",
    "history = model2.fit_generator(flipgen.flow(X_train, y_train),\n",
    "                               steps_per_epoch=len(X_train),\n",
    "                               epochs=epochs, \n",
    "                               validation_data=(X_val, y_val)\n",
    "                              )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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NPh3J0MuhzzT72rjh3XvPuPxOc4gIFw1P5v27z2H+TePqTN0AUFhWxX9WHWDG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\nGnyUUkq1uv8HcN9NrGf+7b0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1f29addc780>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "loss = history.history['loss']\n",
    "val_loss = history.history['val_loss']\n",
    "\n",
    "plt.plot(loss, linewidth=3, label='train')\n",
    "plt.plot(val_loss, linewidth=3, label='valid')\n",
    "plt.grid()\n",
    "plt.legend()\n",
    "plt.xlabel('epoch')\n",
    "plt.ylabel('loss')\n",
    "plt.ylim(1e-3, 1e-2)\n",
    "plt.yscale('log') # 由於整個loss的range很大, 我們使用'log'尺規來轉換\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "驗證的loss在使用了卷積網絡的結構之後, 下降到了 0.0010 , 比起第一個MLP的模型的 0.0035有了蠻大的進展。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 驗證評估 (Evaluation)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ImageId    1783\n",
      "Image      1783\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "X_test2, _ = load2d(test=True) # 取得測試資料集\n",
    "y_pred2 = model2.predict(X_test2) # 進行預測"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def plot_sample(x, y, axis):\n",
    "    img = x.reshape(96, 96) # 圖像是96x96\n",
    "    axis.imshow(img, cmap='gray') # 以灰階來顯示\n",
    "    \n",
    "    # 把模型預測出來的15個臉部關鍵點打印在圖像上\n",
    "    axis.scatter(y[0::2] * 48 + 48, y[1::2] * 48 + 48, marker='x', s=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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IhULyLrqfXH/MKVIJch30+32Ew2GJun0+HxqNhi1KHAwGtkjHqTw5Dhwjrazp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NwY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\nyJl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EoCDu7bOGSdBuvA8oQ/pNsu7l5WVdvnxZKysrmp6eDuUvu7u7qlaridIBKQnjej4B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PxcS0tLRraBWOP74de2r1Lm4/fNZtPOjgwTgRhLGObSDMpNp9O6du2adnZ2tLq6auEvvEYP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\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48GGoxYOenCNKnVev10v0hPURIyoxr25vbwflBf1LpVLwIulYIikcj4XQ5IT3YrEYjE3f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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1f2c621fdd8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 打印一個6x6的圖像框格\n",
    "fig = plt.figure(figsize=(6, 6))\n",
    "fig.subplots_adjust(left=0, right=1, bottom=0, top=1, hspace=0.05, wspace=0.05)\n",
    "\n",
    "# 選出測試圖像的前16個進行視覺化\n",
    "for i in range(16):\n",
    "    ax = fig.add_subplot(4, 4, i + 1, xticks=[], yticks=[])\n",
    "    plot_sample(X_test[i], y_pred[i], ax)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 視覺化兩個模型的預測結果"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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P4flQv42XXnopWY8KPpgKtqfyuqncbFXk4LJtSrORbVM7NHB19xFkte5/prLQ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\nFQBAA00VAEADTRUAQANNFQBAg2/sVCy4YoIgPAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1f2c5fe4fd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def plot_sample(x, y, axis):\n",
    "    img = x.reshape(96, 96) # 圖像是96x96\n",
    "    axis.imshow(img, cmap='gray') # 以灰階來顯示\n",
    "    \n",
    "    # 把模型預測出來的15個臉部關鍵點打印在圖像上\n",
    "    axis.scatter(y[0::2] * 48 + 48, y[1::2] * 48 + 48, marker='o', s=40)\n",
    "    \n",
    "fig = plt.figure(figsize=(8, 8))\n",
    "\n",
    "idx = 30 # 我們找一張圖像來比較兩個模型預測的結果\n",
    "\n",
    "fig.subplots_adjust(left=0, right=1, bottom=0, top=1, hspace=0.05, wspace=0.05)\n",
    "\n",
    "# 第一個模型\n",
    "ax = fig.add_subplot(1, 2, 1, xticks=[], yticks=[])\n",
    "ax.set_title('model#1')\n",
    "plot_sample(X_test[idx], y_pred[idx], ax)\n",
    "\n",
    "# 第二個模型\n",
    "ax = fig.add_subplot(1, 2, 2, xticks=[], yticks=[])\n",
    "ax.set_title('model#2')\n",
    "plot_sample(X_test2[idx], y_pred2[idx], ax)\n",
    " \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "從視覺上可以發現model#2(卷積網絡)在右邊眼睛與嘴巴的關鍵點相較model#1(前饋網絡)關鍵點的定位比較正確。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wrote submission-2017-11-18T17-33-57.005498.csv\n"
     ]
    }
   ],
   "source": [
    "columns=[\"left_eye_center_x\",\"left_eye_center_y\",\"right_eye_center_x\",\"right_eye_center_y\",\"left_eye_inner_corner_x\",\"left_eye_inner_corner_y\",\"left_eye_outer_corner_x\",\"left_eye_outer_corner_y\",\"right_eye_inner_corner_x\",\"right_eye_inner_corner_y\",\"right_eye_outer_corner_x\",\"right_eye_outer_corner_y\",\"left_eyebrow_inner_end_x\",\"left_eyebrow_inner_end_y\",\"left_eyebrow_outer_end_x\",\"left_eyebrow_outer_end_y\",\"right_eyebrow_inner_end_x\",\"right_eyebrow_inner_end_y\",\"right_eyebrow_outer_end_x\",\"right_eyebrow_outer_end_y\",\"nose_tip_x\",\"nose_tip_y\",\"mouth_left_corner_x\",\"mouth_left_corner_y\",\"mouth_right_corner_x\",\"mouth_right_corner_y\",\"mouth_center_top_lip_x\",\"mouth_center_top_lip_y\",\"mouth_center_bottom_lip_x\",\"mouth_center_bottom_lip_y\"]\n",
    "y_pred_final = y_pred2 * 48 + 48\n",
    "y_pred_final = y_pred_final.clip(0,96) # 因為圖像為96x96, 因此座標點只能落在[0~96]\n",
    "df = DataFrame(y_pred_final, columns=columns)\n",
    "lookup_table = pd.read_csv(FLOOKUP)\n",
    "values = []\n",
    "\n",
    "for index, row in lookup_table.iterrows():\n",
    "    values.append((row['RowId'], df.iloc[row.ImageId - 1][row.FeatureName]))\n",
    "    \n",
    "now_str = datetime.now().isoformat().replace(':','-')\n",
    "submission = DataFrame(values, columns=('RowId', 'Location'))\n",
    "filename = 'submission-{}.csv'.format(now_str)\n",
    "submission.to_csv(filename, index=False)\n",
    "print(\"Wrote {}\".format(filename))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "在kaggle上, 第二個模型預測的結果可以得到3.08762的分數。在175的團隊中, 大約是64名左右的排名。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "###  總結\n",
    "在這篇文章中有一些個人學習到的一些有趣的重點:\n",
    "* 使用卷積網絡來進行多個臉部關鍵點的計算\n",
    "* 在網絡的最後一個輸出層不去設定激勵函數的作法跟一般的機械學習的regression做法很相似\n",
    "* 這篇文章的資料前處理過濾了約5000筆有部份缺漏值的資料,而只用了2,267個筆資料來進行訓練的作法是為了簡化文章的說明, 實務上在訓練資料筆數不是很多的資料集應該強化missing values的特徵程序"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "參考: \n",
    "* [Using convolutional neural nets to detect facial keypoints tutorial](http://danielnouri.org/notes/2014/12/17/using-convolutional-neural-nets-to-detect-facial-keypoints-tutorial/)\n",
    "* [Kaggle Facial Keypoints Detection tutorial](https://github.com/dnouri/kfkd-tutorial)\n",
    "* [Keras官網](http://keras.io/)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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